MétaCan
Menu
Back to cohort
Record W2131649632 · doi:10.2466/pms.100.1.237-248

Relationships among Eysenck's Extraversion, Rorschach's Erlebnistypus, and Tolerance of Experimental Tonic Pain (Cold Water Pressor Test)

2005· article· en· W2131649632 on OpenAlexaboutno aff
Stefano Ferracuti, Antonella De Carolis

Bibliographic record

VenuePerceptual and Motor Skills · 2005
Typearticle
Languageen
FieldPsychology
TopicPsychological Testing and Assessment
Canadian institutionsnot available
Fundersnot available
KeywordsExtraversion and introversionEysenck Personality QuestionnaireRorschach testCold pressor testPsychologyPain tolerancePersonalityVisual analogue scalePersonality testClinical psychologyTest (biology)PsychometricsThreshold of painBig Five personality traitsTest validityAnesthesiaMedicineSocial psychologyBlood pressureInternal medicine

Abstract

fetched live from OpenAlex

In a group of 42 healthy volunteers the correlations between the concept of Extraversion-Introversion as defined by Eysenck and Erlebnistypus as defined by Rorschach were analysed to relate these with the tolerance of an experimentally induced tonic pain. We conducted an experimental procedure comprising a test and retest. At test the subjects were administered the Rorschach, the Eysenck Personality Inventory, the Cold Water Pressor Test, a nongraduated Visual Analogue Scale, and the Italian version of the McGill Pain Questionnaire. At retest the experimental induction of pain was measured again. At test subjects who scored higher on the EPI Extraversion scale tolerated pain longer and did not modify their performance at retest. Also, the concepts of Extroversion defined by the Rorschach test and by the Extraversion scale of the Eysenck Personality Inventory shared some psychophysiological features of higher tolerance to pain. These personality features did not influence how subjects qualitatively describe the immediate painful experience.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.030
GPT teacher head0.297
Teacher spread0.267 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations19
Published2005
Admission routes1
Has abstractyes

Explore more

Same venuePerceptual and Motor SkillsSame topicPsychological Testing and AssessmentFrench-language works237,207